Tim Schneider

Tim Schneider is a Researcher at Analytic Computing, affiliated with an institution in Stuttgart, Germany. His work focuses on integrating probabilistic reasoning with machine learning, particularly in symbolic regression and physics-guided neural networks. He has contributed to methods for anomaly detection in time series and neural sensor modeling for engineering systems.

Contact: Phone +49 711 685 88106 | Universitätsstraße 32, 70569 Stuttgart, Germany | Room 01.204.

Research Trends: His recent publications highlight applications of Bayesian methods in symbolic reasoning, physics-informed neural network architectures, and robust sensor modeling for automotive systems. Themes include uncertainty quantification, temporal data analysis, and interpretable machine learning.